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Implementation of cloud based IoT technology in manufacturing industry for smart control of manufacturing process

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Abstract

Internet of Things (IoT) and Cloud Computing are receiving a lot of attention lately because they can offer a new technique for smart sensing and connectivity from man-to-man, man-to-machine, and machine-to-machine, as well as on-demand usage and effective sharing of resources, alternately. For the Industrial IoT to function as an infrastructure for data collection of shop floor equipment, cloud computing is required; distributed computing would move to the edge due to speed requirements for real-time processing of massive data. The method describes the standard manufacturing system built on a private cloud system that gathers data in real time from smart technologies linked to shop-floor objects.The study aims to design a general structure for information and data acquisition, processing, and collection at the edges of massive production controllers, where the approach is determined by the collection of shop-floor objects. The implementation of a multi-criteria adaptive scheduling technique that conducts accurate and effective scheduling or rescheduling of production processes in real time while taking shop-floor data and condition-based services into consideration. To move towards the Internet of Things, the different parts of the created cyber-physical mechanism will be applied in a cloud setting. The entities are made up of industrial assets that embed work-in-progress on items throughout their production phase of Cyber-Physical Production Systems (CPPS), which work together intelligently in such systems to achieve and maintain the manufacturing process's optimum, manage disruptions, and adapt to changing circumstances.The CPPS architecture joins a system with the IoT nodes made up of IoT accesses, and instruments, including PC-style terminals holding the resource agents with such a private cloud service. The decentralized MES network of a semi-hierarchical cloud-based CPPS controlling system is comprised of both networks. The development of the manufacturing process, controlling, monitoring, including optimization, as well as the archiving of historical data, are the major functions of the management system. The assessment of power consumed is presented together with an implementation framework. The entire method is easy to apply in different kinds of businesses and yielded incredibly satisfying results.

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Authors and Affiliations

  1. Department of Business Administration, College of Administration and Economics, Lebanese French University, Erbil, Kurdistan Region, Iraq

    Sohail Imran Khan

  2. Computer Science Department, Jazan University, Jizan, Saudi Arabia

    Chamandeep Kaur

  3. 3College of Engineering, Department of Chemical Engineering, University of Bahrain, Zallaq, Bahrain

    Mohammed Saleh Al Ansari

  4. Department of Doctoral Program, Faculty Economic and Business, Universitas Sumatera Utara, 20222Jl.Prof TM Hanafiah 12, USU Campus, Padang bulan, Medan, 20155, Indonesia

    Iskandar Muda

  5. Ricardo Fernando Cosio Borda, Universidad Privada del Norte, Lima, Peru

    Ricardo Fernando Cosio Borda

  6. Department of Artificial Intelligence and Data Science, K. Ramakrishnan College of Engineering, Tamil Nadu, Trichy, India

    B. Kiran Bala

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  1. Sohail Imran Khan
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  2. Chamandeep Kaur
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  3. Mohammed Saleh Al Ansari
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  4. Iskandar Muda
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  5. Ricardo Fernando Cosio Borda
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  6. B. Kiran Bala
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Correspondence to Sohail Imran Khan.

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Khan, S.I., Kaur, C., Al Ansari, M.S. et al. Implementation of cloud based IoT technology in manufacturing industry for smart control of manufacturing process. Int J Interact Des Manuf (2023). https://doi.org/10.1007/s12008-023-01366-w

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  • DOI: https://doi.org/10.1007/s12008-023-01366-w

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